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The Culture Compute Podcast - Review of Cukurova's Vision for the Future of AI in Education - Hybrid Intelligence

Review of Cukurova's Vision for the Future of AI in Education - Hybrid Intelligence

09/09/24 • 18 min

1 Listener

The Culture Compute Podcast

Show Notes

In this episode, host Sai Gattupalli explores the future of AI in education, discussing a recent paper by Dr. Mutlu Cukurova on hybrid intelligence in educational contexts, published in the British Journal of Educational Technology in August 2024. APA reference below.

Episode Highlights:

    • Congratulations to students from Zilla Parishad High School in Bhiknoor, India, for their STEM fair participation
    • Introduction to Dr. Mutlu Cukurova's work on AI in education
    • Three conceptualizations of AI in education:
  1. AI as a tool to externalize human cognition
  2. AI models that can be internalized to influence human mental models
  3. AI as an extension of human cognition in hybrid intelligence systems
  • The importance of developing AI competencies in education
  • Challenges and potential pitfalls of AI in education
  • The future of education: creating symbiosis between human and artificial intelligence
  • Key Topics Discussed:

      • Hybrid intelligence in education
      • Cultural aspects of AI in education
      • Socio-psychological barriers to AI adoption

    Resources Discussed:

    1. Cukurova, M. (2024). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13514
    2. STEM Showcase at Zilla Parishad High School, Bhiknoor, India: https://sites.google.com/umass.edu/vc2024/

    About the Culture Compute Podcast:

    The Culture Compute Podcast explores the intersections of culture, technology, and education, hosted by Sai Gattupalli from the Advanced Learning Technologies Lab at the University of Massachusetts Amherst.

    Culture Compute Podcast

    Advanced Learning Technologies Lab

    Connect with me:

    Email: sgattupalli at umass dot edu

    Until next time.

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    Show Notes

    In this episode, host Sai Gattupalli explores the future of AI in education, discussing a recent paper by Dr. Mutlu Cukurova on hybrid intelligence in educational contexts, published in the British Journal of Educational Technology in August 2024. APA reference below.

    Episode Highlights:

      • Congratulations to students from Zilla Parishad High School in Bhiknoor, India, for their STEM fair participation
      • Introduction to Dr. Mutlu Cukurova's work on AI in education
      • Three conceptualizations of AI in education:
    1. AI as a tool to externalize human cognition
    2. AI models that can be internalized to influence human mental models
    3. AI as an extension of human cognition in hybrid intelligence systems
  • The importance of developing AI competencies in education
  • Challenges and potential pitfalls of AI in education
  • The future of education: creating symbiosis between human and artificial intelligence
  • Key Topics Discussed:

      • Hybrid intelligence in education
      • Cultural aspects of AI in education
      • Socio-psychological barriers to AI adoption

    Resources Discussed:

    1. Cukurova, M. (2024). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13514
    2. STEM Showcase at Zilla Parishad High School, Bhiknoor, India: https://sites.google.com/umass.edu/vc2024/

    About the Culture Compute Podcast:

    The Culture Compute Podcast explores the intersections of culture, technology, and education, hosted by Sai Gattupalli from the Advanced Learning Technologies Lab at the University of Massachusetts Amherst.

    Culture Compute Podcast

    Advanced Learning Technologies Lab

    Connect with me:

    Email: sgattupalli at umass dot edu

    Until next time.

    Previous Episode

    undefined - Understanding Learning Disabilities and Neurodiversity in Learning Sciences

    Understanding Learning Disabilities and Neurodiversity in Learning Sciences

    This episode delves into the concept of learning disabilities and neurodiversity in learning sciences, challenging traditional perspectives. The discussion covers the impact of various learning disabilities on education, strategies for creating inclusive learning environments, and the role of technology, particularly AI and voice-enabled tools, in supporting diverse learners.

    Key Topics:

    • Understanding learning disabilities such as dyslexia, dyscalculia, and ADHD
    • The importance of early identification and intervention
    • Strategies for inclusive education, including multisensory teaching, assistive technology, and Universal Design for Learning (UDL)
    • The potential of adaptive learning systems and voice-enabled AI to support students with learning disabilities

    References:

    Get in Touch: For feedback, questions, or ideas for future episodes, feel free to reach out to Sai Gattupalli at sgattupalli at umass dot edu.

    Visit our new podcast website: https://culturecomputepod.com/

    Until next time, keep computing culture in learning!

    Next Episode

    undefined - Navigating the AI Revolution in Education: Ethics, Creativity, and the Future of Learning with Torrey Trust, PhD

    Navigating the AI Revolution in Education: Ethics, Creativity, and the Future of Learning with Torrey Trust, PhD

    Welcome to the 10th episode of The Culture Compute podcast! We're thrilled to have a special guest today, Dr. Torrey Trust, Professor of Learning Technologies at the University of Massachusetts Amherst. Dr. Trust is not only a leading expert in the field but also my PhD advisor. Her insights on AI ethics in education are invaluable as we navigate this rapidly evolving landscape.

    Guest: Dr. Torrey Trust, Professor of Learning Technologies, University of Massachusetts Amherst

    Key Topics Discussed:

    • Trust's AI Syllabus Policy Statement
    • Broader implications for human creativity and higher order thinking
    • Creativity and over-reliance of generative AI in education

    Paper Review: "Ethical content in artificial intelligence systems: A demand explained in three critical points" by Ana Luize Corrêa Bertoncini and Mauricio C. Serafim. APA reference below.

    Key takeaways discussed:

    • Need for multidisciplinary approach to AI in education
    • Importance of maintaining ethical standards as AI becomes more prevalent
    • Balancing AI benefits with potential ethical challenges

    Links and References:

    Torrey Trust, PhD, Professor of Learning Technologies

    AI Syllabus Policy Statement: https://docs.google.com/document/d/1caSLk2JM40K4tdQHlLRwftYVGM6k8z0ZA2J12SwLhtU/edit?usp=sharing

    Torrey Trust, PhD https://www.torreytrust.com/

    Bertoncini, A. L. C., & Serafim, M. C. (2023). Ethical content in artificial intelligence systems: A demand explained in three critical points. Frontiers in Psychology, 14, 1074787. https://doi.org/10.3389/fpsyg.2023.1074787

    Connect with Sai Gattupalli

    Learning Technologies Researcher

    Email: [email protected]

    Music by Liborio Conti

    Subscribe to The Culture Compute podcast on your favorite platform. Free and open access.

    Until next time, keep computing culture.

    CultureComputePod.com

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